scholarly journals Stable recombination hotspots in birds

2015 ◽  
Author(s):  
Sonal Singhal ◽  
Ellen Leffler ◽  
Keerthi Sannareddy ◽  
Isaac Turner ◽  
Oliver Venn ◽  
...  
Keyword(s):  
Critical Role ◽  
Cpg Islands ◽  
Natural Populations ◽  
Bird Species ◽  
Indirect Evidence ◽  
Fine Scale ◽  
Recombination Rates ◽  
Transcription Start Sites ◽  
Recombination Hotspots ◽  
Meiotic Recombination Hotspots

Although the DNA-binding protein PRDM9 plays a critical role in the specification of meiotic recombination hotspots in mice and apes, it appears to be absent from many vertebrate species, including birds. To learn about the determinants of fine-scale recombination rates and their evolution in natural populations lacking PRDM9, we inferred fine-scale recombination maps from population resequencing data for two bird species, the zebra finchTaeniopygia guttata, and the long-tailed finch,Poephila acuticauda, whose divergence is on par with that between human and chimpanzee. We find that both bird species have hotspots, and these are enriched near CpG islands and transcription start sites. In sharp contrast to what is seen in mice and apes, the hotspots are largely shared between the two species, with indirect evidence of conservation extending across bird species tens of millions of years diverged. These observations link the evolution of hotspots to their genetic architecture, suggesting that in the absence of PRDM9 binding specificity, accessibility of the genome to the cellular recombination machinery, particularly around functional genomic elements, both enables increased recombination and constrains its evolution.

scholarly journals Fine-scale recombination landscapes between a freshwater and marine population of threespine stickleback fish

2018 ◽  
Author(s):  
Alice F. Shanfelter ◽  
Sophie L. Archambeault ◽  
Michael A. White
Keyword(s):  
Gasterosteus Aculeatus ◽  
Demographic History ◽  
Strong Association ◽  
Threespine Stickleback ◽  
Open Chromatin ◽  
Fine Scale ◽  
Recombination Rates ◽  
Transcription Start Sites ◽  
Marine Population ◽  
Recombination Hotspots

AbstractMeiotic recombination is a highly conserved process that has profound effects on genome evolution. Recombination rates can vary drastically at a fine-scale across genomes and often localize to small recombination “hotspots” with highly elevated rates surrounded by regions with little recombination. Hotspot targeting to specific genomic locations is variable across species. In some mammals, hotspots have divergent landscapes between closely related species which is directed by the binding of the rapidly evolving protein, PRDM9. In many species outside of mammals, hotspots are generally conserved and tend to localize to regions with open chromatin such as transcription start sites. It remains unclear if the location of recombination hotspots diverge in taxa outside of mammals. Threespine stickleback fish (Gasterosteus aculeatus) are an excellent model to examine the evolution of recombination over short evolutionary timescales. Using an LD-based approach, we found recombination rates varied at a fine-scale across the genome, with many regions organized into narrow hotspots. Hotspots had divergent landscapes between stickleback populations, where only ~15% were shared, though part of this divergence could be due to demographic history. Additionally, we did not detect a strong association of PRDM9 with recombination hotspots in threespine stickleback fish. Our results suggest fine-scale recombination rates may be diverging between closely related populations of threespine stickleback fish and argue for additional molecular characterization to verify the extent of the divergence.

scholarly journals Effect of Heterogeneity in Recombination Rate on Variation in Realised Relationship

2018 ◽  
Author(s):  
Ian M.S. White ◽  
William G. Hill
Keyword(s):  
Recombination Rate ◽  
Genetic Information ◽  
Fine Scale ◽  
Recombination Rates ◽  
Recombination Hotspots ◽  
Identical By Descent ◽  
Small Influence ◽  
Scale Levels ◽  
Pedigree Relationship ◽  
Actual Relationship

ABSTRACTIndividuals of specified pedigree relationship vary in the proportion of the genome they share identical by descent, i.e. in their realised or actual relationship. Basing predictions of the variance in realised relationship solely on the proportion of the map length shared implicitly assumes that both recombination rate and genetic information are uniformly distributed along the genome, ignoring the possible existence of recombination hotspots, and failing to distinguish between coding and non-coding sequences. In this paper we quantify the effects of heterogeneity in recombination rate at broad and fine scale levels on the variation in realised relationship. A chromosome with variable recombination rate usually shows more variance in realised relationship than does one having the same map length with constant recombination rate, especially if recombination rates are higher towards chromosome ends. Reductions in variance can also be found, and the overall pattern of change is quite complex. In general, local (fine-scale) variation in recombination rate, e.g. hotspots, has a small influence on the variance in realised relationship. Differences in rates across longer regions and between chromosome ends can increase or decrease the variance in realised relationship, depending on the genomic architecture.

Meiotic recombination hotspots in plants

2006 ◽  
Vol 34 (4) ◽  
pp. 531-534 ◽  
Author(s):  
C. Mézard
Keyword(s):  
Plant Species ◽  
Meiotic Recombination ◽  
Large Scale ◽  
Genetic Recombination ◽  
Dna Fragments ◽  
Recombination Rates ◽  
Coding Regions ◽  
Recombination Hotspots ◽  
Meiotic Recombination Hotspots

Many studies have demonstrated that the distribution of meiotic crossover events along chromosomes is non-random in plants and other species with sexual reproduction. Large differences in recombination frequencies appear at several scales. On a large scale, regions of high and low rates of crossover have been found to alternate along the chromosomes in all plant species studied. High crossover rates have been reported to be correlated with several chromosome features (e.g. gene density and distance to the centromeres). However, most of these correlations cannot be extended to all plant species. Only a few plant species have been studied on a finer scale. Hotspots of meiotic recombination (i.e. DNA fragments of a few kilobases in length with a higher rate of recombination than the surrounding DNA) have been identified in maize and rice. Most of these hotspots are intragenic. In Arabidopsis thaliana, we have identified several DNA fragments (less than 5 kb in size) with genetic recombination rates at least 5 times higher than the whole-chromosome average [4.6 cM (centimorgan)/Mb], which are therefore probable hotspots for meiotic recombination. Most crossover breakpoints lie in intergenic or non-coding regions. Major efforts should be devoted to characterizing meiotic recombination at the molecular level, which should help to clarify the role of this process in genome evolution.

scholarly journals Evolutionary implications of recombination differences across diverging populations of Anopheles

2021 ◽  
Author(s):  
Joel T. Nelson ◽  
Omar E. Cornejo ◽  
Keyword(s):  
Genetic Diversity ◽  
Genetic Differentiation ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Rate Variation ◽  
Anopheles Coluzzii ◽  
Fine Scale ◽  
Recombination Rates ◽  
Population Genetic Differentiation ◽  
Recombination Hotspots

AbstractRecombination is one of the main evolutionary mechanisms responsible for changing the genomic architecture of populations; and in essence, it is the main mechanism by which novel combinations of alleles, haplotypes, are formed. A clear picture that has emerged across study systems is that recombination is highly variable, even among closely related species. However, it is only until very recently that we have started to understand how recombination variation between populations of the same species impact genetic diversity and divergence. Here, we used whole-genome sequence data to build fine-scale recombination maps for nine populations within two species of Anopheles, Anopheles gambiae and Anopheles coluzzii. The genome-wide recombination averages were on the same order of magnitude for all populations except one. Yet, we identified significant differences in fine-scale recombination rates among all population comparisons. We report that effective population sizes, and presence of a chromosomal inversion has major contribution to recombination rate variation along the genome and across populations. We identified over 400 highly variable recombination hotspots across all populations, where only 9.6% are shared between two or more populations. Additionally, our results are consistent with recombination hotspots contributing to both genetic diversity and absolute divergence (dxy) between populations and species of Anopheles. However, we also show that recombination has a small impact on population genetic differentiation as estimated with FST. The minimal impact that recombination has on genetic differentiation across populations represents the first empirical evidence against recent theoretical work suggesting that variation in recombination along the genome can mask or impair our ability to detect signatures of selection. Our findings add new understanding to how recombination rates vary within species, and how this major evolutionary mechanism can maintain and contribute to genetic variation and divergence within a prominent malaria vector.

scholarly journals Modeling Linkage Disequilibrium and Identifying Recombination Hotspots Using Single-Nucleotide Polymorphism Data

Genetics ◽  
2003 ◽  
Vol 165 (4) ◽  
pp. 2213-2233 ◽  
Author(s):  
Na Li ◽  
Matthew Stephens
Keyword(s):  
Linkage Disequilibrium ◽  
Recombination Rate ◽  
Population Sample ◽  
Simulated Data ◽  
Region Of Interest ◽  
Population Data ◽  
Recombination Rates ◽  
Single Nucleotide ◽  
Recombination Hotspots ◽  
Genomic Regions

AbstractWe introduce a new statistical model for patterns of linkage disequilibrium (LD) among multiple SNPs in a population sample. The model overcomes limitations of existing approaches to understanding, summarizing, and interpreting LD by (i) relating patterns of LD directly to the underlying recombination process; (ii) considering all loci simultaneously, rather than pairwise; (iii) avoiding the assumption that LD necessarily has a “block-like” structure; and (iv) being computationally tractable for huge genomic regions (up to complete chromosomes). We examine in detail one natural application of the model: estimation of underlying recombination rates from population data. Using simulation, we show that in the case where recombination is assumed constant across the region of interest, recombination rate estimates based on our model are competitive with the very best of current available methods. More importantly, we demonstrate, on real and simulated data, the potential of the model to help identify and quantify fine-scale variation in recombination rate from population data. We also outline how the model could be useful in other contexts, such as in the development of more efficient haplotype-based methods for LD mapping.

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